We build industrial software that connects the factory floor to the boardroom IoT integration, supply chain optimisation, production automation, and real-time operational dashboards that give manufacturers the visibility and control they need.
Modern manufacturing competitiveness is an information problem. The manufacturers gaining ground are the ones who can see what's happening on the production floor in real time, predict equipment failures before they happen, and optimise supply chains with accurate demand data. We build the software that makes that possible.
Our industrial software practice covers the full OT/IT convergence stack from edge device connectivity and time-series data collection through to MES systems, supply chain platforms, and executive dashboards. We work with MQTT, OPC-UA, and industrial IoT protocols alongside standard cloud infrastructure.
We understand the unique constraints of manufacturing environments always-on requirements, network isolation, legacy PLC integration, and the human factors of software that operators and floor managers need to trust and use every day.
Predictive maintenance models that detect equipment anomalies before failure turning reactive maintenance into scheduled intervention.
Real-time OEE dashboards, WIP tracking, yield monitoring, and shift performance reporting across single or multi-site operations.
Demand forecasting, supplier performance monitoring, inventory optimisation, and multi-tier supply chain visibility platforms.
Computer vision quality inspection, SPC charting, non-conformance management, and root cause analysis workflows that reduce scrap and rework.
Industrial software from edge to enterprise built for the demands of continuous production.
MQTT and OPC-UA data collection from PLCs, sensors, and machines edge processing, time-series storage, and real-time streaming to cloud dashboards.
ML models trained on vibration, temperature, and current data to predict equipment failures days or weeks in advance reducing unplanned downtime by up to 40%.
Manufacturing execution systems with work order management, routing, real-time WIP tracking, OEE calculation, and shift reporting dashboards.
Supplier portals, demand forecasting engines, inventory optimisation, purchase order management, and multi-tier supply chain visibility platforms.
Computer vision inspection, SPC dashboards, non-conformance workflows, CAPA management, and audit trail documentation for ISO 9001 compliance.
3D digital models of production lines synchronised with real sensor data enabling virtual commissioning, scenario simulation, and remote monitoring.
From discrete manufacturers to process industries, our platforms have delivered measurable OEE improvement, downtime reduction, and supply chain resilience.
Before Tech Laurel's predictive maintenance system, we had three to four unplanned line stoppages per month averaging four hours each. In the twelve months since go-live, we've had one. The ROI was visible within the first quarter.
Industrial IoT protocols, edge computing, and cloud infrastructure for manufacturing environments.
Yes. We have experience connecting to Siemens, Rockwell Allen-Bradley, Mitsubishi, and Beckhoff PLCs via OPC-UA, Modbus TCP, and proprietary protocols. Where direct connectivity isn't possible, we deploy edge gateways that bridge the protocol gap without requiring PLC software changes.
We design with network segmentation as a first-class requirement keeping OT networks isolated while enabling secure, one-way data flows to IT systems and cloud platforms. We implement data diodes and DMZ architectures where required, and work with your OT security team to ensure the architecture meets your requirements.
A single-site IoT monitoring implementation with a real-time dashboard can be live in 8–12 weeks. A full MES implementation with multi-site connectivity, predictive models, and ERP integration typically runs 6–12 months. We always start with a pilot site to validate the approach and demonstrate value before rolling out across the operation.
Tell us about your production environment. We'll scope a pilot that proves the value before you commit to full deployment.